Asia
Referring Human Pose and Mask Estimation in the Wild Bo Miao
This new task holds significant potential for human-centric applications such as assistive robotics and sports analysis.
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution
Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang
Convolutional neural networks (CNNs) have recently achieved great success in single-image super-resolution (SISR). However, these methods tend to produce over-smoothed outputs and miss some textural details.
On Oracle-Efficient PAC RL with Rich Observations
Christoph Dann, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford, Robert E. Schapire
Neural Information Processing Systems http://nips.cc/
Deep Anomaly Detection Using Geometric Transformations
We consider the problem of anomaly detection in images, and present a new detectiontechnique. Givenasampleofimages,allknowntobelongtoa"normal" class (e.g., dogs), we show how to train a deep neural model that can detect out-of-distribution images (i.e., non-dog objects).
Memory Efficient Adaptive Optimization
Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer
Figure 2: Testlog-perplexityofa Transformer -Bigmodelon WMT'14 en!fr, whentrainingwith batchsizesof 384 (left) and 768 (right).
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum
Neural Information Processing Systems http://nips.cc/
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
Among the research topics in multi-agent learning, mixed-motive cooperation is one of the most prominent challenges, primarily due to the mismatch between individual and collective goals.
